Cross-Cloud Analytics Orchestration Across Mixed Access Protocols
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Solution Overview
Problem
The challenge lies in creating a shared architecture that facilitates the development and execution of analytics on varied information across multiple research domains, where each domain has distinct expectations for result usage, and ensuring the reliability of extracted knowledge for decision-making.
Innovation Solution
A cross-cloud orchestration system that includes storage systems, analytics computing environments, and a command and control server to manage workflows across different research domains, ensuring data integrity and reliability through pattern recognition, data modeling, and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a shared architecture is created to facilitate analytics across multiple research domains, then the ability to extract and utilize knowledge across domains is improved, but the complexity of managing diverse access protocols and ensuring data integrity increases
Solution Approach 1:
The patent introduces a command and control server as an intermediary component that mediates between multiple analytics computing environments with different access protocols. This server receives analytics requests, translates them into appropriate protocol-specific requests, and manages the execution across heterogeneous environments, thereby enabling cross-domain analytics without requiring direct integration between all environments.
Solution Approach 2:
The command and control server is designed as a universal platform that can handle multiple types of analytics requests across different research domains and communicate with various analytics computing environments using different protocols. This multi-functional design allows a single system to serve diverse analytics needs while abstracting away the underlying protocol complexity.
2Quantity of substance
If analytics requests are transmitted across multiple computing environments with different access protocols, then the quantity of analyzable data increases, but the difficulty of ensuring reliable knowledge extraction and data integrity increases
Solution Approach 1:
The command and control server implements feedback mechanisms to monitor and verify the execution of analytics requests across different computing environments. It tracks the status of requests, validates the integrity of returned results, and can retry or correct failed operations, thereby ensuring reliable knowledge extraction even when dealing with large volumes of data from multiple sources.
Solution Approach 2:
Before transmitting analytics requests to multiple computing environments, the command and control server performs preliminary actions including authentication, protocol selection, and request validation. This preparatory work ensures that subsequent data extraction operations are conducted reliably and that the integrity of extracted knowledge can be maintained across diverse environments.
3Adaptability or versatility
If multiple native access requests are configured for different access protocols to execute analytic applications, then the versatility of analytics execution is improved, but the complexity of protocol management and transmission increases
Solution Approach 1:
The patent segments the protocol management functionality into distinct components within the command and control server. Each analytics computing environment with its specific protocol is handled by dedicated translation or adaptation modules, allowing the system to manage multiple protocols independently without requiring complex cross-protocol logic throughout the entire system.
Data Source
AI summary
A system, apparatus, article of manufacture, method, and/or computer program product are disclosed for a cross-cloud orchestration of data analytics for a plurality of research domains. A system operates by receiving one or more command and control (C&C) requests to execute one or more analytic applications of a workflow. The workflow includes the analytic applications for execution. The system further operates by generating one or more native access requests to execute the analytic applications at one or more analytics computing environments, and transmitting one or more native access requests to the analytics computing environments, wherein at least two native access requests are configured for different access protocol.